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authorklebinger.andreas@gmx.at <klebinger.andreas@gmx.at>2019-02-18 00:28:39 +0100
committerMarge Bot <ben+marge-bot@smart-cactus.org>2019-10-16 07:04:21 -0400
commit535a88e1f348112c44e27e0083a68f054b055619 (patch)
tree52738736723400052f440163d469148e223ed771 /compiler/ghc.cabal.in
parent9c11f8171a9aebec4b4d19e5eac4140f40c28542 (diff)
downloadhaskell-535a88e1f348112c44e27e0083a68f054b055619.tar.gz
Add loop level analysis to the NCG backend.
For backends maintaining the CFG during codegen we can now find loops and their nesting level. This is based on the Cmm CFG and dominator analysis. As a result we can estimate edge frequencies a lot better for methods, resulting in far better code layout. Speedup on nofib: ~1.5% Increase in compile times: ~1.9% To make this feasible this commit adds: * Dominator analysis based on the Lengauer-Tarjan Algorithm. * An algorithm estimating global edge frequences from branch probabilities - In CFG.hs A few static branch prediction heuristics: * Expect to take the backedge in loops. * Expect to take the branch NOT exiting a loop. * Expect integer vs constant comparisons to be false. We also treat heap/stack checks special for branch prediction to avoid them being treated as loops.
Diffstat (limited to 'compiler/ghc.cabal.in')
-rw-r--r--compiler/ghc.cabal.in1
1 files changed, 1 insertions, 0 deletions
diff --git a/compiler/ghc.cabal.in b/compiler/ghc.cabal.in
index a612733de6..3ff27ea098 100644
--- a/compiler/ghc.cabal.in
+++ b/compiler/ghc.cabal.in
@@ -593,6 +593,7 @@ Library
Instruction
BlockLayout
CFG
+ Dominators
Format
Reg
RegClass